Model save

README.md

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+---
+tags:
+- generated_from_trainer
+datasets:
+- imdb
+metrics:
+- accuracy
+model-index:
+- name: imdb_distilbert-base-uncased
+  results:
+  - task:
+      name: Text Classification
+      type: text-classification
+    dataset:
+      name: imdb
+      type: imdb
+      config: plain_text
+      split: test
+      args: plain_text
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8766
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# imdb_distilbert-base-uncased
+
+This model was trained from scratch on the imdb dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.3141
+- Accuracy: 0.8766
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 2e-05
+- train_batch_size: 64
+- eval_batch_size: 64
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 3.0
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6487        | 0.2   | 78   | 0.4402          | 0.8117   |
+| 0.402         | 0.4   | 156  | 0.3563          | 0.8416   |
+| 0.3528        | 0.6   | 234  | 0.3522          | 0.8434   |
+| 0.3362        | 0.8   | 312  | 0.3099          | 0.8652   |
+| 0.3184        | 1.0   | 390  | 0.3028          | 0.8700   |
+| 0.265         | 1.2   | 468  | 0.3052          | 0.8738   |
+| 0.2593        | 1.4   | 546  | 0.2983          | 0.8735   |
+| 0.2537        | 1.6   | 624  | 0.2977          | 0.8754   |
+| 0.2558        | 1.8   | 702  | 0.2911          | 0.8774   |
+| 0.2476        | 1.99  | 780  | 0.2907          | 0.8751   |
+| 0.1941        | 2.19  | 858  | 0.3151          | 0.8774   |
+| 0.1873        | 2.39  | 936  | 0.3104          | 0.8764   |
+| 0.1869        | 2.59  | 1014 | 0.3181          | 0.8771   |
+| 0.1807        | 2.79  | 1092 | 0.3148          | 0.8764   |
+| 0.1967        | 2.99  | 1170 | 0.3141          | 0.8766   |
+
+
+### Framework versions
+
+- Transformers 4.35.0.dev0
+- Pytorch 2.1.0+cu118
+- Datasets 2.14.6
+- Tokenizers 0.14.1

config.json

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+{
+  "_name_or_path": "/scratch1/zhejianz/hgf/models/distilbert-base-uncased",
+  "activation": "gelu",
+  "architectures": [
+    "DistilBertForSequenceClassification"
+  ],
+  "attention_dropout": 0.1,
+  "dim": 768,
+  "dropout": 0.1,
+  "finetuning_task": "imdb",
+  "hidden_dim": 3072,
+  "id2label": {
+    "0": "neg",
+    "1": "pos"
+  },
+  "initializer_range": 0.02,
+  "label2id": {
+    "neg": 0,
+    "pos": 1
+  },
+  "max_position_embeddings": 512,
+  "model_type": "distilbert",
+  "n_heads": 12,
+  "n_layers": 6,
+  "pad_token_id": 0,
+  "problem_type": "single_label_classification",
+  "qa_dropout": 0.1,
+  "seq_classif_dropout": 0.2,
+  "sinusoidal_pos_embds": false,
+  "tie_weights_": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.35.0.dev0",
+  "vocab_size": 30522
+}

model.safetensors

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runs/Nov03_19-55-46_d11-03.hpc.usc.edu/events.out.tfevents.1699066677.d11-03.hpc.usc.edu.198644.0

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special_tokens_map.json

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+{
+  "cls_token": "[CLS]",
+  "mask_token": "[MASK]",
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "unk_token": "[UNK]"
+}

tokenizer_config.json

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+{
+  "added_tokens_decoder": {
+    "0": {
+      "content": "[PAD]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "100": {
+      "content": "[UNK]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    },
+    "101": {
+      "content": "[CLS]",
+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
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+    "103": {
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+      "lstrip": false,
+      "normalized": false,
+      "rstrip": false,
+      "single_word": false,
+      "special": true
+    }
+  },
+  "clean_up_tokenization_spaces": true,
+  "cls_token": "[CLS]",
+  "do_lower_case": true,
+  "mask_token": "[MASK]",
+  "model_max_length": 1000000000000000019884624838656,
+  "pad_token": "[PAD]",
+  "sep_token": "[SEP]",
+  "strip_accents": null,
+  "tokenize_chinese_chars": true,
+  "tokenizer_class": "DistilBertTokenizer",
+  "unk_token": "[UNK]"
+}

training_args.bin

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